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Data laboratory for supply chain response models during epidemic outbreaks

  • Big Data Analytics in Operations & Supply Chain Management
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Abstract

Disasters in developing countries tremendously affect the economy and long-term development. Recent years have seen an increase in epidemic outbreaks in countries like Haiti and in West Africa. However, there seems to be a lack of decision support to address epidemic outbreak challenges in developing countries compared to their developed counterparts. The lack of data to implement such models is a potential reason. This paper presents a data set that will permit to develop data-driven allocation models and policies for an epidemic outbreak in a developing country. The data set is for the cholera epidemic that occurred in the aftermath of the 2010 earthquake in Haiti. The detailed time-series patient data is intended to facilitate the development and evaluation of multi-period supply chain models that support emergency health response, allocate medical resources and staff, and design coordination mechanisms among humanitarian stakeholders. We also provide a simple model to illustrate how the data can be utilized to develop a basic epidemic outbreak response model. The data set will be made available online for researchers interested in developing models in this field.

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Correspondence to Azrah A. Anparasan.

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Anparasan, A.A., Lejeune, M.A. Data laboratory for supply chain response models during epidemic outbreaks. Ann Oper Res 270, 53–64 (2018). https://doi.org/10.1007/s10479-017-2462-y

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  • DOI: https://doi.org/10.1007/s10479-017-2462-y

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